Senior Machine Learning Engineer - 130K-180K - Hybrid

Irvine, CA • Mission Viejo, CA • Aliso Viejo, CA • Santa Ana, CA Hybrid

Full-time $120,000.00 - $180,000.00

Posted 06/15/2024

Job Title: Senior Machine Learning Engineer
Location: Hybrid in Laguna Hills, CA - 3 days onsite
Salary: $130,000 - $180,000
Requirements: 3+ years

We are a well funded, small company that has been around for over 10 years creating chips that hold AI technology. Our chips are currently being used for electric vehicles, home security and surveillance, home intelligence and maintenance, manufacturing maintenance and management, robotics, automation, quality control, healthcare data, and fitness equipment!

Due to our increased workload, we are currently looking to add a Machine Learning Engineer to our experienced team in Laguna Hills, CA! We have about 40 employees but this person will be on our R&D team (about 5 engineers) reporting to the Lead Data Scientist. This is an opportunity to develop AI using new algorithms that people have not seen before for new hardware that no one has programmed before! We are looking for talented candidates that have studied subjects like Theoretical Physics or AI.

Responsibilities:

Develop industry learning edge algorithms for state of the art, novel computer architectures
Assist the team in pioneering new algorithms in Generative Edge AI.
Working closely with the research team to translate ML models from theory to practice.
Developing and maintaining efficient code in Python, C, and C++ for use in a fast pace research environment.
Staying current with advancements in ML, embedded AI, and related technologies.
Collaborating on ML algorithm/hardware co-design tasks to enhance system performance.
Debugging and Benchmarking software to ensure optimal performance on our hardware.
Interfacing with customers to understand their needs and provide technical support for ML applications.
Contributing to the development of the our software stack and toolchain.
Contributing to Patent and Publications.

Qualifications:

Bachelor's Degree in Computer Engineer, Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a Master's Degree with 3+ years of experience.
Strong background in machine learning and embedded AI through a well regarded university program or through extensive self-study.
Highly Proficiency in one Python, C, or C++.
Experience with ML frameworks such as TensorFlow, Keras, and PyTorch.
Understanding of computer architecture principles.

Benefits

100% Covered HMO Benefits for employees and dependents- Medical, Dental, and Vision Benefits; PPO covered partially (Benefits start Day 1 of employment)
Start with 3 weeks PTO (10 hours each month - Accrue 10 hours/month of PTO working with our company; increases with tenure)
401k with up to 6% matching - contribution starts on Day 1 of employment
Annual Bonuses (10% of Salary end of year)
LARGE RSU's Package
Hybrid work environment - 3 days onsite in Laguna Hills

For this position you must be currently authorized to work in the United States. We do not sponsor for this position.

Additional ways to apply

Preferred Skills

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Job ID: WW2-1806969

Employees will receive paid leave to the extent required by state or local law. This job was first posted by CyberCoders on 06/15/2024 and applications will be accepted on an ongoing basis until the position is filled or closed.

CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.